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Large Margin Discriminative Loss for Classification
This loss boosts the discriminative power of neural nets, represented by intra-class compactness and inter-class separability.
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
The method is applicable to any classification model as it is applied directly in feature space at test time and does not intervene in training process.
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